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Remote Machine Learning Robotics Jobs in Austin, TX

HiddenLayer

AI Red Teamer

Austin, TX · On-site +1

Hands-on experience with adversarial machine learning techniques and tools (e.g., Foolbox ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

... Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline Must have * Understanding of various machine learning algorithms (e.g. SVM, Random Forests ...

Gainwell Technologies LLC

Principal Data Sciences

Austin, TX · On-site +1

$124K - $177.10K/yr

... machine learning and AI solutions using python * Experience with data cleansing, validation, and general quality control principals What you should expect in this role * Fully Remote Opportunity - Wo ...

Maximus

AI/ML Software Developer

Austin, TX · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

New

Maximus

AI/ML Software Developer

San Marcos, TX · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

New

Neos Consulting

Data Architect

Austin, TX · On-site +1

$63.25 - $81.25/hr

REMOTE - ONLY CANDIDATES CURRENTLY RESIDING IN THE AUSTIN, TEXAS WILL BE CONSIDERED*** No calls, no ... Develop and operationalize scalable architectures for collaborative notebooks, machine learning ...

Wsgr

Innovations and AI Solutions Engineer

Austin, TX · On-site +1

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Design, build and implement machine learning models, including the development of AI Models and ...

Continued

AI Engineer (Remote)

Austin, TX · Remote

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... machine learning and generative AI models at enterprise scale. This role will also help define best ...

Continued

AI Engineer (Remote)

Austin, TX · Remote

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... machine learning and generative AI models at enterprise scale. This role will also help define best ...

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All JobsMachine Learning Robotics JobsRemote Machine Learning Robotics JobsRemote Machine Learning Robotics Jobs in Austin, TX

Remote Machine Learning Robotics information

See Austin, TX salary details

$32.2K

$63.2K

$98.6K

How much do remote machine learning robotics jobs pay per year?

As of May 31, 2026, the average yearly pay for remote machine learning robotics in Austin, TX is $63,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $74,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Robotics Engineer, and why are they important?

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

What is a Remote Machine Learning Robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

What is the difference between Remote Machine Learning Robotics vs Remote Data Scientist?

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

What are popular job titles related to Remote Machine Learning Robotics jobs in Austin, TX? For Remote Machine Learning Robotics jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Robotics jobs in Austin, TX look for? The top searched job categories for Remote Machine Learning Robotics jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Machine Learning Robotics jobs? Cities near Austin, TX with the most Remote Machine Learning Robotics job openings:
Remote Machine Learning Robotics jobs near you
Infographic showing various Remote Machine Learning Robotics job openings in Austin, TX as of May 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 93% Physical, and 7% Hybrid job distribution, with an average salary of $63,220 per year, or $30.4 per hour.
Technical Product Manager for AI Security Products

Technical Product Manager for AI Security Products

HiddenLayer

Austin, TX • On-site, Remote

$165.50K - $191.30K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 27 days ago

Job description

Technical Product Manager for AI Security Products

Remote [within the US]

ABOUT THE ROLE:

HiddenLayer is entering an exciting new chapter in our company history and we are seeking a Technical Product Manager for our AI Security products to drive the development of a groundbreaking cybersecurity platform to secure and protect against adversarial AI attacks. In this role, you'll have the opportunity to work with industry pioneers in data science and artificial intelligence threat research in a fast-paced emerging market.

As a Product Manager with a strong background in cybersecurity and AI, you will play a crucial role in the development, enhancement, and delivery of HiddenLayer's AISec Platform to protect and defend generative AI and agentic systems against cybersecurity threats and attacks.

WHO WE ARE:

HiddenLayer protects the world's most valuable technologies from adversarial AI attacks. We were founded by AI professionals and security specialists with first-hand experience of how insidious adversarial AI attacks can be to detect and defend against. Determined to prove that these attacks were preventable, the team developed a unique, patent-pending, productized solution to support organizations in accelerating their adoption of AI securely.

Our dedication to innovation has been recognized by prestigious awards such as RSA's Innovation Sandbox Winner, CB Insights AI 100, CyberTech 100, and SC's Most Promising Early-Stage Start-up.

WHAT YOU'LL DO:

You will be responsible for translating customer needs, technical insights, and the evolving Adversarial AI threat landscape into actionable product capabilities and detection techniques. Your exceptional understanding of both machine learning and cybersecurity will allow you to effectively guide cross-functional teams, bridging the gap between sales engineering, product development, data science, threat research, and professional services.

  • Product Roadmap Planning: Manage, maintain, and prioritize HiddenLayer's backlog of product and feature ideas
  • Product Execution: Collaborate with internal stakeholders (engineering, data science, and threat research) to define requirements and deliver high-quality product capabilities and user experience
  • Adversarial AI Threat Landscape: Maintaining vigilance and knowledge of the Adversarial AI Threat Landscape and MITRE ATLAS to define and prioritize detection requirements for HiddenLayer's products
  • Market Analysis: Conduct comprehensive market research and competitive analysis to identify emerging trends, opportunities, and potential threats in the machine learning and cybersecurity landscape
  • Customer Insights: Engage with customers and gather feedback to understand their pain points, requirements, and preferences to drive product improvements.
  • Requirements Definition: Clearly define product requirements, use cases, and specifications, collaborating with engineering, data science, and threat research teams to ensure the feasibility and effectiveness of solutions

Go-to-Market Launches: Coordinate product launches and develop effective go-to-market strategies, collaborating with marketing, sales, and support teams to drive product adoption and success in the market.

WHO YOU ARE:

  • Candidates could be:
    • Technical Product Managers in data science or machine learning operations who seek to delve into cybersecurity
    • Technical Product Managers in cybersecurity who have data science or AI operations experience
    • Former Data Scientists, AI Engineers, or developers who want to make a career pivot into product management
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • In-depth knowledge of AI techniques, algorithms, frameworks, and AI Operation tools.
  • Strong understanding of cybersecurity principles, best practices, and industry standards.
  • Experience working with cross-functional teams, including engineering, data science, threat research, marketing, sales, and support.
  • Proficient in Agile product development methodologies and project management tools.
  • Excellent communication, presentation, and interpersonal skills.
  • Ability to analyze complex technical challenges and propose effective solutions.
  • Prior experience in developing and/or launching successful machine learning and/or cybersecurity products is a plus.
  • Flexible and adaptable self-starter with strong relationship building skills
  • Collaborative and team oriented attitude
  • Intellectual curiosity, humility, accountability, and positive approach

WHY HIDDENLAYER?

We're moving at (what feels like) the speed of light. HiddenLayer is a venture-backed company and recently closed a $50M funding round led by M12, Microsoft's Venture Fund, and Moore Strategic Ventures.

Attracting and retaining the very best people is our #1 priority. That's why we offer our team best-in-class benefits, including:

  • Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional about getting the team together a couple of times a year. We offer a generous stipend for your home office setup, annual upgrades to ensure you have a comfortable workspace and a monthly stipend for internet/phone expenses.
  • Comprehensive Health & Wellness Benefits: Better than your average startup healthcare benefits. With five options to choose from, of which are fully subsidized by HiddenLayer, we offer a variety of options to fit each person's needs. We also offer vision, dental, and 401k offerings.
  • Flexible Time Off: Enjoy unlimited and flexible time off for all salaried employees, in addition to 15 paid company holidays.
  • Commitment to Learning and Development: We support personal growth and education through a dedicated L&D fund that can be used for training, conferences, certifications and industry events.
  • Diversity, Equity, and Inclusion: We are committed to building a diverse team with individuals from various backgrounds, experiences, abilities, and perspectives, and we are proud to be an equal opportunity employer.

To learn more about HiddenLayer visit HiddenLayer and follow us on LinkedIn or Twitter.

HiddenLayer is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.